Adatpartícionálás

Adatpartícionálás, often referred to as data partitioning, is a technique used in database management and data warehousing to divide a large database into smaller, more manageable pieces called partitions. These partitions are typically based on a specific column or set of columns, such as a date range, geographical location, or customer ID. The primary goal of data partitioning is to improve the performance of queries, manageability of large datasets, and optimize storage.

By partitioning data, queries that only need to access a subset of the data can scan only the relevant partitions, significantly reducing the amount of data that needs to be processed. This leads to faster query execution times. Furthermore, administrative tasks like backups, data archiving, and data loading become more efficient as they can be performed on individual partitions rather than the entire database. It also allows for better resource utilization, as different partitions can be stored on different physical storage devices, potentially improving I/O performance. Different partitioning strategies exist, including range partitioning, list partitioning, hash partitioning, and composite partitioning, each suited for different types of data and access patterns.